CrowdStrike Introduces Shadow AI Visibility Service BLOG Featured Now Live: The CrowdStrike 2026 Financial Services Threat Landscape Report May 14, 2026 Falcon AIDR Detects Threats at the Prompt Layer in Kubernetes AI Applications May 13, 2026 May 2026 Patch Tuesday: 30 Critical Vulnerabilities Among 130 CVEs May 12, 2026 Inside CrowdStrike Automated Leads: A Transformative Approach to Threat Detections May 11, 2026 Recent Video Video Highlights the 4 Key Steps to Successful Incident Response Dec 02, 2019 Helping Non-Security Stakeholders Understand ATT&CK in 10 Minutes or Less [VIDEO] Feb 21, 2019 Analyzing Targeted Intrusions Through the ATT&CK Framework Lens [VIDEO] Jan 22, 2019 Qatar’s Commercial Bank Chooses CrowdStrike Falcon®: A Partnership Based on Trust [VIDEO] Aug 20, 2018 Category Agentic SOC How Charlotte AI AgentWorks Fuels Security's Agentic Ecosystem 03/25/26 CrowdStrike Services and Agentic MDR Put the Agentic SOC in Reach 03/24/26 4 Ways Businesses Use CrowdStrike Charlotte AI to Transform Security Operations 03/12/26 Inside the Human-AI Feedback Loop Powering CrowdStrike’s Agentic Security 02/10/26 Cloud & Application Security 05/13/26 CrowdStrike Named a Leader in Frost & Sullivan 2026 Radar for Cloud-Native Application Protection Platforms 04/27/26 CrowdStrike Expands Real-Time Cloud Detection and Response to Google Cloud 04/22/26 CrowdStrike Falcon Cloud Security Delivered 264% ROI Through Unified Cloud Protection Threat Hunting & Intel 05/14/26 CrowdStrike Named a Leader in the First-Ever Gartner® Magic Quadrant™ for Cyberthreat Intelligence Technologies 05/06/26 CrowdStrike Launches Falcon OverWatch for Defender 05/05/26 Tune In: The Future of AI-Powered Vulnerability Discovery 05/01/26 Endpoint Security & XDR 05/11/26 CrowdStrike Falcon Platform Achieves 441% ROI in Three Years 04/21/26 Falcon for IT Supports Windows Secure Boot Certificate Lifecycle Management 04/01/26 Enhanced Network Visibility: A Dive into the Falcon macOS Sensor's New Capabilities 03/11/26 Engineering & Tech EMBER2024: Advancing the Training of Cybersecurity ML Models Against Evasive Malware 09/03/25 Falcon Platform Prevents COOKIE SPIDER’s SHAMOS Delivery on macOS 08/20/25 CrowdStrike’s Approach to Better Machine Learning Evaluation Using Strategic Data Splitting 08/11/25 CrowdStrike Researchers Develop Custom XGBoost Objective to Improve ML Model Release Stability 03/20/25 Executive Viewpoint Frontier AI Is Collapsing the Exploit Window.
Here’s How Defenders Must Respond. 04/20/26 Frontier AI for Defenders: CrowdStrike and OpenAI TAC 04/16/26 Anthropic Claude Mythos Preview: The More Capable AI Becomes, the More Security It Needs 04/06/26 The Architecture of Agentic Defense: Inside the Falcon Platform 01/16/26 From The Front Lines CrowdStrike Technical Risk Assessments Reveal Common Exposure Patterns 05/04/26 Introducing the CrowdStrike Shadow AI Visibility Service CrowdStrike Flex for Services Expands Access to Elite Security Expertise From Scanner to Stealer: Inside the trivy-action Supply Chain Compromise 03/20/26 Next-Gen Identity Security Detecting CVE-2026-20929: Kerberos Authentication Relay via CNAME Abuse 03/31/26 CrowdStrike FalconID Brings Phishing-Resistant MFA to Falcon Next-Gen Identity Security 02/26/26 CrowdStrike Named a Customers’ Choice in 2026 Gartner® Peer Insights™ Voice of the Customer for User Authentication 02/12/26 CrowdStrike to Acquire Seraphic to Secure Work in Any Browser 01/13/26 Next-Gen SIEM & Log Management Falcon Next-Gen SIEM Supports Third-Party EDR Tools, Starting with Microsoft Defender 03/23/26 Falcon Next-Gen SIEM Simplifies Onboarding with Sensor-Native Log Collection 03/06/26 Exposing Insider Threats through Data Protection, Identity, and HR Context 02/18/26 How to Scale SOC Automation with Falcon Fusion SOAR 02/11/26 Public Sector CrowdStrike Innovates to Modernize National Security and Protect Critical Systems 03/18/26 Falcon Platform for Government Now Offers Falcon for XIoT to Secure Connected Assets CrowdStrike Achieves FedRAMP® High Authorization 03/19/25 NHS Matures Healthcare Cybersecurity with NCSC’s CAF Assurance Model 03/13/25 Exposure Management 05/12/26 April 2026 Patch Tuesday: Two Zero-Days and Eight Critical Vulnerabilities Among 164 CVEs 04/14/26 How CrowdStrike Is Accelerating Exposure Evaluation as Adversaries Gain Speed 04/05/26 March 2026 Patch Tuesday: Eight Critical Vulnerabilities and Two Publicly Disclosed Among 82 CVEs Patched 03/10/26 Securing AI CrowdStrike Expands ChatGPT Enterprise Integration with Enhanced Audit Logging and Activity Monitoring 04/28/26 New CrowdStrike Innovations Secure AI Agents and Govern Shadow AI Across Endpoints, SaaS, and Cloud Secure Homegrown AI Agents with CrowdStrike Falcon AIDR and NVIDIA NeMo Guardrails 03/19/26 Introducing "AI Unlocked: Decoding Prompt Injection," a New Interactive Challenge Data Security Falcon Data Security Secures Data Wherever It Lives and Moves Falcon Data Protection for Cloud Extends DSPM into Runtime 11/20/25 CrowdStrike Stops GenAI Data Leaks with Unified Data Protection 09/18/25 Q&A: How Mastronardi Produce Secures Innovation with CrowdStrike 02/14/25 Start Free Trial This new Falcon platform-powered service gives organizations the visibility they need to discover, govern, and secure AI adoption across their environment.
April 21, 2026 JJ Cranford - Kris Krewson From The Front Lines • Since the launch of CrowdStrike AI Security Services in 2025, our Professional Services team has yet to encounter an organization with an accurate inventory of the AI tools and services in use across its environment. One customer counted 150 agents in its inventory. We found over 500. Another had not approved agentic development at all; we discovered over 70 active agents.
In many cases, web filtering created a false sense of control by masking the extent of unapproved AI activity taking shape inside the environment. These are not edge cases. This is the norm for organizations of every size, across every industry and region. The new CrowdStrike Shadow AI Visibility Service aims to address this problem by giving organizations the truth about their AI footprint. Powered by the CrowdStrike Falcon® platform and delivered by CrowdStrike experts, this service uses telemetry-based evidence to identify sanctioned and unsanctioned AI usage across endpoint, cloud, and SaaS environments.
Shadow AI Changes the Risk Equation In the past year, two trends have accelerated the shadow AI problem. First, many organizations have prohibited security teams from generally blocking AI tools and sites for fear of inhibiting experimentation and productivity. Second, AI adoption has accelerated, and the variety of tools has multiplied. CrowdStrike AI services engagements continue to find shadow AI in SaaS and cloud-hosted AI/ML services.
We’re also finding shadow AI across the full endpoint surface: desktop AI applications, browser extensions, IDEs, packages, MCP servers, models, and frameworks. Most organizations also lack visibility into how users are interacting with AI applications, including the user prompts and LLM responses that may contain sensitive data, source code, or credentials. Figure 1. The Falcon Adversary OverWatch threat hunting team has observed significant growth in agent-triggered detection leads, now tracking at 2.5x the rate of human-triggered leads.
This demonstrates that AI agents now operate on endpoints, and they are increasingly taking autonomous and potentially risky actions. Discovering shadow AI across all of these vendors requires a security stack that sees across every surface where AI operates. Most organizations don’t have one. Shadow AI differs from traditional shadow IT because it frequently integrates into existing, approved workflows without requiring formal installation.
Security teams face an immediate challenge: They cannot protect what they cannot see. And unlike shadow IT, undetected AI doesn’t just access sensitive data — it can expose this data to unauthorized systems and take autonomous action that may disrupt or jeopardize production operations. The visibility gap is driven by four primary factors. What It Looks Like in Practice Why It Matters Stealth Access An employee uses an AI chat app via their browser or installs a computer-use agent on their machine, with no security review.
Sensitive data can be exposed outside approved boundaries with as little as a prompt. Security may have no record that it happened. Agents on the endpoint inherit user permissions and capabilities that can be hijacked or misaligned. Feature Bundling A SaaS provider adds AI assistants or agentic features through a routine product update or license change. The tool is already approved. The new AI capability is not.
AI functionality can inherit access to enterprise data and workflows before security has assessed the risk, governance model, or data handling implications. Silent Extensions A developer installs an AI-powered IDE extension, browser plug-in, or MCP-connected tool. No one in security is notified, and it begins processing code, prompts, and internal data. These tools often sit outside traditional visibility and control points, creating risk of code exposure, data leakage, and unmonitored model interaction.
Agentic Inventory Discrepancy The organization believes it has a limited number of AI agents in production. In reality, the number is far higher, with new agents, integrations, and workflows proliferating across the environment. Security cannot govern what it cannot inventory. Untracked agents may hold excessive privileges, interact with sensitive systems, and take autonomous action that puts production operations at risk.
Without an accurate inventory, risk compounds quickly. Shadow AI is not just a funnel for sensitive data loss, including IP exposure, source code leakage, and regulatory risk. It can also act on that data by making decisions, triggering workflows, and taking autonomous action across connected systems without the visibility, guardrails, or human oversight security teams expect. This new service gives customers the evidence and guidance they need to understand their true AI footprint and reduce risk with confidence.
Customers receive: A comprehensive AI inventory: A clearer accounting of AI tools, agents, copilots, extensions, and model-connected services operating across endpoint, cloud, and SaaS environments Runtime evidence of AI activity: Technical evidence of how AI is being used in practice, including prompts, responses, and agent activity — so security teams can see what’s actually happening, not what users self-report Visibility gap analysis: Analysis to understand what is present in the environment versus what the organization believes is approved — exposing unauthorized sprawl, hidden agents, and visibility blind spots Prioritized findings and expert guidance: Risk-prioritized findings and actionable recommendations from CrowdStrike experts to help teams reduce exposure and strengthen AI security posture Securing AI starts where AI executes: on the endpoint.
CrowdStrike has been capturing process-level telemetry on the endpoint for over a decade, and that same visibility now extends across browser, SaaS, and cloud. This is why we can deliver AI discovery across every surface where AI operates, from a single platform and a single engagement. Discovery Is Step One. What Comes Next? Visibility is the foundational phase of a secure AI strategy. Once an organization understands its real AI footprint, the next requirement is to evaluate whether those systems are resilient against adversarial manipulation.
For organizations that need to go deeper, the CrowdStrike AI Systems Security Assessment extends beyond discovery into: Secure configuration: Assess feature configurations and risks in GenAI applications and services Program recommendations: Advise on governing, securing, and monitoring workforce GenAI usage and secure development of AI applications Adversarial risk assessment: Test model security, conduct threat modeling, and identify attack paths for select internally developed AI applications.
Securing AI adoption requires shifting from a reactive posture to a threat-informed, evidence-driven defense. This transition begins with achieving total visibility of the current footprint. For organizations seeking greater visibility into their exposures, the CrowdStrike Frontier AI Readiness and Resilience Service provides ongoing, AI-driven scanning to identify vulnerabilities and prioritize them based on adversary risk and business criticality.
As frontier AI shrinks the window between vulnerability discovery and exploitation, this helps organizations learn where they are exposed, what is reachable, and whether their controls are strong enough to stop a breach. Learn more on our services page or contact services@crowdstrike.com . Additional Resources Join us at Fal.Con 2026 as we bring together cyber leaders from across the industry to help secure the AI revolution.
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